LinkedIn Posts Scraper: Activity & Keyword Search (No Cookie)
Pricing
from $1.50 / 1,000 linkedin post results
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LinkedIn Posts Scraper: Activity & Keyword Search (No Cookie)
LinkedIn Posts Scraper without cookies ($1.50/1K): scrape public LinkedIn posts from personal profiles, company pages, or keyword search with post text, likes, comments, reposts & author info.
Pricing
from $1.50 / 1,000 linkedin post results
Rating
0.0
(0)
Developer
Kaito T
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
2
Monthly active users
7 hours ago
Last modified
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Features
Limited permissions
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LinkedIn Posts, Activity & Keyword Search Scraper (No Cookie)
Extract public LinkedIn posts and engagement metrics from personal profiles, company pages, or keyword searches without cookies.
💰 Transparent Pay-Per-Result Pricing (Zero Proxy or Add-On Fees)
You only pay per delivered LinkedIn Post Result — empty searches, deduplicated items, and failed lookups cost $0.00:
| Apify Plan Tier | Price per 1,000 Results | Proxy / Compute Add-Ons |
|---|---|---|
| Free / Starter | $2.00 / 1K | $0 (Included) |
| Bronze | $1.80 / 1K | $0 (Included) |
| Silver | $1.60 / 1K | $0 (Included) |
| Gold / Platinum / Diamond | $1.50 / 1K | $0 (Included) |
📥 Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
profiles | array | ["ankurjain13"] | Extract recent posts from these LinkedIn personal profiles. |
companies | array | ["microsoft"] | Extract recent posts from these LinkedIn company pages. |
keywords | array | [] | Search LinkedIn posts globally by keyword or topic. |
maxPostsPerTarget | integer | 10 | Maximum posts to extract per profile, company, or keyword. |
Quick-Start JSON Input Example
{"profiles": ["ankurjain13"],"companies": ["microsoft"],"maxPostsPerTarget": 10}
⚡ API, SDK & No-Code Workflow Integrations
- Direct REST API & SDKs: Run via
apify-clientin Python or Node.js / TypeScript and export clean JSON, CSV, Excel, or Parquet datasets. - No-Code Automation Ready: Plug directly into n8n, Make.com, Clay, Zapier, Google Sheets, or LangChain / LlamaIndex RAG pipelines with zero residential proxy configuration and only 256 MB RAM compute overhead.
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